Live Training Webinar
Deepfake Defense:Essential Strategies for Communication Professionals in 2025
Deepfakes are no longer future threats—they are today’s crisis accelerators. With incidents up 680% in Q1 2025, organizations face unprecedented risks to trust, reputation, and financial stability. From cloned voices tricking employees into million-dollar transfers, to AI-generated videos spreading at viral speed, communication teams are on the frontline of a synthetic information war.
This interactive training webinar is designed to help crisis communication professionals, executives, and PR leaders understand the deepfake threat, learn how to detect and counter it, and build resilient strategies that restore trust in the age of AI deception.
Tuesday November 6, 2025
At 05:00 PM WEST - 04:00 PM GMT - 12:00 PM ET -11:00 AM CT -10:00 AM MT - 9:00 AM PT
About the training webinar.
Deepfakes are now a daily crisis challenge.
In 2025, deepfake-driven fraud has risen by more than 2,000% in just three years. Fake voices and videos are being used to authorize multimillion-dollar transfers, impersonate leaders, and spread false information at a speed that overwhelms traditional response systems.
This 1-hour interactive training webinar gives crisis communication professionals the knowledge and tools to act quickly and decisively. Using real case studies—including a $25M deepfake scam—participants will examine how these incidents unfold and what can be done to prevent similar damage.
The training webinar also introduces the Authenticated Reality Framework: a practical model that combines verification processes, blockchain time-stamping, and digital certificates. Together, these elements help communication teams strengthen trust, improve preparedness, and protect reputations in an environment where seeing and hearing can no longer be taken at face value.
What's included in the training?
When you register for the Deepfake Defense training, you’ll walk away with more than just a webinar; you’ll gain a ready-to-use system against manufactured outrage.
Live 1-Hour Training
Step-by-step breakdown of how rage farming works, how to detect it early, and exactly what to do in the critical first 24 hours.
Replay Recording (Lifetime Access)
Revisit the strategies anytime, or share with your team to build organisation-wide resilience.
Early Detection & Response Checklist
A plug-and-play template to help you spot rage farming patterns quickly and launch a coordinated response before things spiral out of control.
Actionable Playbook, Not Theory
Practical frameworks you can apply immediately to protect your organisation’s reputation, stakeholders, and staff. One hour. Real strategies and tactics. No corporate fluff.
About your trainer & host
Philippe Borremans
Crisis, Risk and Emergency Communications Consultant
Philippe is an independent crisis communication consultant who's worked with WHO, governments, and major corporations like IBM. Former President of the International Public Relations Association and author of "Mastering Crisis Communication with ChatGPT", he produces the "Wag The Dog" newsletter and podcast, helping organisations navigate reputation threats in the digital age.
Protect Your Organization from Rage Farming Attacks
You’ll learn how to:
Spot rage farming early.
Recognise the warning signs that separate manufactured outrage from genuine criticism — before it goes viral.
Respond fast in the first 24 hours.
Use a clear framework to act quickly and decisively, without amplifying false narratives.
Communicate with confidence.
Reassure staff, inform investors, and address the public with fact-based updates that build trust instead of fuelling the fire.
Build team resilience.
Protect your people, digital assets, and reputation from the long-term toll of coordinated outrage campaigns.
YOUR Rage Farming Defence Toolkit Pass
€97
One-time fee, EUR incl VAT (USD 114)
- Live 1-Hour Training
- Replay Recording (Lifetime Access)
- Early Detection & Response Checklist
- Actionable Playbook, Not Theory
Spots are limited — reserve your place today.